MUST HAVE: ETL, Snowflake, Python, AWS.
Description
Senior Data Engineer
Fidelity Investments is looking for a Senior Data Engineer to join the Data Analytics team within the Data Architecture and Engineering business unit. We are looking for candidates with a bachelor’s degree and 5+ years of related experience in data engineering and analytics or a master’s degree and at least 4years of relevant experience.
The Team
You will be part of the team responsible for developing the process of universal identification for Fidelity customers. The goal is to ensure we create a world class experience for our customers that is built on trust and security. Enabling a Universal Identification process across the enterprise will allow Fidelity to understand and connect multiple customer relationships via a single identifier. We are energized and motivated by having a job that allows us to contribute daily to Fidelity’s belief that our greatest asset is our people!
The Expertise You Have
- Crafted and implemented operational data stores and or data warehouses in multi-site High Availability environments. Recent Snowflake experience is required. MDM experience is a plus.
- Strong problem solving and proven data analytical skills
- Proven expertise in Data Modeling, Data Profiling, Data Analysis, Data Quality, Data Governance and Data Lineage.
- Experience migrating databases/warehouses from On Prem to AWS Cloud
- Prior experience designing data processing pipelines and resilient messaging services
- Data modeling skills and familiarity with BI reporting tools
- SQL specialist; ETL background and experience with schedulers a must
- Solid experience with AWS event streaming/Kafka
- Ability to elicit and document process models and data models in support of defined use cases
- Experience or certification in Cloud-based (AWS, Azure) Architecture, Security and Data certification a plus
- Demonstrated ability to lead, mentor, influence and partner with architects, engineers, and product teams to deliver scalable robust application solutions
- Ability to manage vendor relationships and drive issues to a timely resolution
- Excellent interpersonal skills (written, oral, influencing)
The Skills You Bring
- A proven foundation in data engineering – bachelor’s degree + preferred, 5+ years’ experience
- Hands-on experience with large Cloud-based implementations (AWS, Azure).
- Experience with cloud-based NoSQL database and Relational databases and business intelligence tools
- Strong background in data field and critical thinking skills to design end-to-end solutions
- Experience and comfort working in an agile environment (Scrum and Kanban)
- Excellent communication and influencing skills to facilitate collaboration across technology and business partners without having a direct authority over people
- Demonstrated experience in mentoring and guiding software engineers in an agile environment
The Value You Deliver
- Collaborating in an autonomous team, owning all aspects of delivery (Coding, Quality, DevSecOps)
- Team player developing/deploying software in a fast-paced and highly flexible environment
- Continued focus on improving test coverage, release velocity and production health
- Working with global Agile teams and will contribute to enhancing engineering practices
- Exercising operational expertise in a team, targeting Engineering and DevOps excellence
- Forever learning and growing your skillsets to be an active contributor to a well-rounded team
- Automating yourself out of today’s job so that you can move on to the next big challenge
